Abstract

Temporal databases capture time-related attributes whose values change with time, for example, stock exchange data. Temporal data mining is an important extension of data mining as it can be used to mine the activity rather than just states, and thus, infer relationships of contextual and temporal proximity, some of which may also indicate a cause-effect association.